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manylives.me Text Redaction
x402
manylives.me Text Redaction is a paid API for AI agents from manylives.me, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Replaces personal information (emails, phone numbers, names, addresses, IDs, card numbers) in a text with labeled placeholders like [NAME] or [EMAIL].
Price / call$0.01
Success—
StatusUnknown
How this service works
Remove personal information from a text before your agent stores or shares it: emails, phone numbers, names, street addresses, IDs and card numbers are replaced with labels.
Output
A JSON object containing 'redacted', the sanitized version of the input text with PII replaced by labels such as [NAME], [EMAIL], [PHONE], [ADDRESS], and 'removed', an array listing the types of entities that were found and redacted.
Example use cases
Sanitize support ticket before logging
“I need to store this support ticket in our database but first scrub out any personal info — replace names, emails, phone numbers, and addresses with placeholders: 'My name is Tom Baker, reach me at tom.baker@mail.com or 07700 900123, I'm at 45 High Street, London.'”
Anonymize user feedback before AI analysis
“Before you pass this user review to the summarizer, redact all PII from it — mask any names, contact details, or addresses: 'Sarah Connor from 8 Oak Avenue called us at 0412 555 888 and said she loved the product.'”
Strip card numbers from pasted customer note
“This note from a customer accidentally contains their card number and personal details — please redact everything sensitive before we forward it to the team: 'John Smith, card 4111 1111 1111 1111, address 99 Elm Road, email jsmith@domain.com.'”
Technical details
Endpoint
POSThttps://manylives.me/paid/text/redact?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, pay-per-call PII redaction without standing up your own NLP pipeline or subscribing to an enterprise DLP service. Ideal for agents that occasionally handle user-submitted text containing personal data and need to sanitize it before storage, logging, or forwarding. Prefer it over general NLP extraction endpoints when the goal is anonymization rather than entity recognition for downstream use.
Side effects
- Text exceeds 20,000 character limit — request rejected
- Empty or missing 'text' field — validation error returned
- Ambiguous or highly obfuscated PII may not be detected and will remain in the output
- Non-standard formatting of phone numbers or addresses may reduce detection accuracy
- Payment failure via x402 protocol results in HTTP 402 and no redaction performed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | the text (required, max 20,000 chars) |
Output
Schema · Response
{
"type": "json",
"example": {
"removed": [
"name",
"email"
],
"redacted": "Contact [NAME] at [EMAIL]."
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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